Review: Long non-coding RNA in livestock
Barbara Kosińska-Selbi , Magda Mielczarek , Joanna Szyda
AbstractLess than 2% of mammalian genomes code for proteins, but ‘the majority of its bases can be found in primary transcripts’ – a phenomenon termed the pervasive transcription, which was first reported in 2007. Even though most of the transcripts do not code for proteins, they play a variety of biological functions, with regulation of gene expression appearing as the most common one. Those transcripts are divided into two groups based on their length: small non-coding RNAs, which are maximally 200 bp long, and long non-coding RNAs (lncRNAs), which are longer than 200 nucleotides. The advances in next-generation sequencing methods provided a new possibility of investigating the full set of RNA molecules in the cell. In this review, we summarized the current state of knowledge on lncRNAs in three major livestock species –Sus scrofa,Bos taurusandGallus gallus, based on the literature and the content of biological databases. In the NONCODE database, the largest number of identified lncRNA transcripts is available for pigs, but cattle have the largest number of lncRNA genes. Poultry is represented by less than a half of records. Genomic annotation of lncRNAs showed that the majority of them are assigned to introns (pig, poultry) or intergenic (cattle). The comparison with well-annotated human and mouse genomes indicates that such annotation is a result of lack of proper lncRNA annotation data. Since lncRNAs play an important role in genomic studies, their characterization in farm animals’ genomes is critical in bridging the gap between genotype and phenotype.
|Journal series||Animal, ISSN 1751-7311, e-ISSN 1751-732X, (N/A 200 pkt)|
|Publication size in sheets||0.5|
|Keywords in English||cattle, genomic annotation, non-coding transcripts, pig, poultry|
|Score||= 200.0, 23-09-2020, ArticleFromJournal|
|Publication indicators||= 0; : 2018 = 1.116; : 2018 = 2.026 (2) - 2018=2.401 (5)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.